code: def test_check_execution_with_none_value_in_predictions_sequence(
      text_classification_dataset_mock,
  ):
      # Arrange
      check = SingleDatasetPerformance(scorers=["recall_macro"])
      # Act
      result = check.run(
          text_classification_dataset_mock, predictions=[1, None, 1]
      )
      # Assert
      assert_that(result.value["Value"], close_to(0.5, 0.001))
  
file_path: deepchecks/tests/nlp/test_context.py
imports: from hamcrest import assert_that, calling, close_to, raises
  from deepchecks.core.errors import ValidationError
  from deepchecks.nlp import Suite
  from deepchecks.nlp.checks import LabelDrift, SingleDatasetPerformance
label_desc: Use image node_id 6 for calling a global function with example usage: test_check_execution_with_none_value_in_predictions_sequence(text_classification_dataset_mock) without return types